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T-box family members are transcription factors characterized by highly conserved residues corresponding to the DNA-binding domain known as the T-box. TBX2 has been implicated in several developmental processes, such as coordinating cell fate, patterning, and morphogenesis of a wide range of tissues and organs, including lungs, limbs, heart, kidneys, craniofacial structures, and mammary glands. In the present study, we have clinically and genetically characterized a proband showing a severe form of chondrodysplasia with developmental delay. Whole-exome sequencing (WES), Sanger sequencing, and 3D protein modeling were performed in the present investigation. Whole-exome sequencing revealed a novel nonsense variant (c.529A>T; p.Lys177*; NM_005994.4) in TBX2. 3D-TBX2 protein modeling revealed a substantial reduction of the mutated protein, which might lead to a loss of function (LOF) or nonsense-mediated decay (NMD). This study has not only expanded the mutation spectrum in the gene but also facilitated the diagnosis and genetic counseling of related features in affected families.
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http://dx.doi.org/10.3389/fgene.2022.1117500 | DOI Listing |
BMC Mol Cell Biol
September 2025
School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Retinitis pigmentosa (RP) affects around 1 in 4000 individuals and represents approximately 25% of cases of vision loss in adults, through death of retinal rod and cone photoreceptor cells. It remains a largely untreatable disease, and research is needed to identify potential targets for therapy. Mutations in 94 different genes have been identified as causing RP, including AGBL5 which encodes the main deglutamylase that regulates and maintains functional levels of cilia tubulin glutamylation, which is essential to initiate ciliogenesis, maintain cilia stability and motility.
View Article and Find Full Text PDFEnviron Manage
September 2025
TEMSUS Research Group, Catholic University of Ávila, Ávila, Spain.
Forests have been increasingly affected by natural disturbances and human activities. These impacts have caused habitat fragmentation and a loss of ecological connectivity. This study examines potential restoration pathways that reconnect the five largest forest cores in the Castilla y León region of Spain.
View Article and Find Full Text PDFNat Struct Mol Biol
September 2025
Developmental Epigenetics, Department of Biochemistry, University of Oxford, Oxford, UK.
X-chromosome inactivation (XCI) in mammals is orchestrated by the noncoding RNA X-inactive-specific transcript (Xist) that, together with specific interacting proteins, functions in cis to silence an entire X chromosome. Defined sites on Xist RNA carry the N-methyladenosine (mA) modification and perturbation of the mA writer complex has been found to abrogate Xist-mediated gene silencing. However, the relative contribution of mA and its mechanism of action remain unclear.
View Article and Find Full Text PDFEMBO Mol Med
September 2025
Institute for Regenerative Medicine, Medical Innovation Center and State Key Laboratory of Cardiovascular Diseases, Shanghai East Hospital, National Stem Cell Translational Resource Center & Ministry of Education Stem Cell Resource Center, Frontier Science Center for Stem Cell Research, School of Li
Primary microcephaly, a rare congenital condition characterized by reduced brain size, occurs due to impaired neurogenesis during brain development. Through whole-exome sequencing, we identified compound heterozygous loss-of-function mutations in CENTRIN 3 (CETN3) in a 5-year-old patient with primary microcephaly. As CETN3 has not been previously linked to microcephaly, we investigated its potential function in neurodevelopment in human pluripotent stem cell-derived cerebral organoids.
View Article and Find Full Text PDFNat Commun
September 2025
Department of Physiology, University of Bern, Bern, Switzerland.
Spiking neural networks (SNNs) inherently rely on the timing of signals for representing and processing information. Augmenting SNNs with trainable transmission delays, alongside synaptic weights, has recently shown to increase their accuracy and parameter efficiency. However, existing training methods to optimize such networks rely on discrete time, approximate gradients, and full access to internal variables such as membrane potentials.
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